update ppdiffusers pipelines (#4230)

ppdiffusers/examples/inference/image_guided_image_inpainting-paint_by_example.py

@@ -0,0 +1,33 @@
+# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import paddle
+
+from ppdiffusers import DiffusionPipeline
+from ppdiffusers.utils import load_image
+
+img_url = "https://paddlenlp.bj.bcebos.com/models/community/Fantasy-Studio/data/image_example_1.png"
+mask_url = "https://paddlenlp.bj.bcebos.com/models/community/Fantasy-Studio/data/mask_example_1.png"
+example_url = "https://paddlenlp.bj.bcebos.com/models/community/Fantasy-Studio/data/reference_example_1.jpeg"
+
+init_image = load_image(img_url).resize((512, 512))
+mask_image = load_image(mask_url).resize((512, 512))
+example_image = load_image(example_url).resize((512, 512))
+
+pipe = DiffusionPipeline.from_pretrained("Fantasy-Studio/Paint-by-Example")
+
+# 使用fp16加快生成速度
+with paddle.amp.auto_cast(True):
+    image = pipe(image=init_image, mask_image=mask_image, example_image=example_image).images[0]
+image.save("paint_by_example_test.png")

ppdiffusers/examples/inference/unconditional_audio_generation-audio_diffusion.py

@@ -0,0 +1,34 @@
+# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import paddle
+from scipy.io.wavfile import write
+
+from ppdiffusers import AudioDiffusionPipeline
+
+# 加载模型和scheduler
+pipe = AudioDiffusionPipeline.from_pretrained("teticio/audio-diffusion-ddim-256")
+pipe.set_progress_bar_config(disable=None)
+generator = paddle.Generator().manual_seed(42)
+
+output = pipe(generator=generator)
+audio = output.audios[0]
+image = output.images[0]
+
+# 保存音频到本地
+for i, audio in enumerate(audio):
+    write(f"audio_diffusion_test{i}.wav", pipe.mel.sample_rate, audio.transpose())
+
+# 保存图片
+image.save("audio_diffusion_test.png")